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针对莱斯衰落信道下的事件检测问题,在传感器网络中引入三级量化筛选策略,得出了基于信道实时状态信息的似然比融合规则.考虑到信道实时状态信息往往难以获得,进一步提出了基于莱斯信道统计分布信息的决策融合规则.并分别在低信噪比和高信噪比条件下给出了2种融合规则的简化形式.仿真结果表明,三级量化筛选策略不仅可以降低系统传输能耗,而且可以改善系统检测性能.综合分析发现,上述决策融合规则在检测性能、计算复杂度和耗费系统资源方面各有优劣.针对资源受限的无线传感器网络,在选取融合规则时,需要折中考虑.
In order to solve the problem of event detection in Rice fading channel, a three-level quantization and screening strategy is introduced into the sensor network, and a likelihood ratio fusion rule based on real-time channel state information is obtained. Considering that real-time channel state information is often difficult to obtain, Based on the Rice channel statistics distribution information fusion rules, the simplified forms of two kinds of fusion rules are given respectively under the conditions of low signal-to-noise ratio and high signal-to-noise ratio.The simulation results show that the three-level quantization screening strategy can not only reduce the system Transmission energy consumption, but also can improve the system detection performance.A comprehensive analysis shows that the above decision fusion rules have their advantages and disadvantages in detection performance, computational complexity and system resource consumption.For the wireless sensor networks with limited resources, when selecting the fusion rules , Need compromise.